Large-Scale Bayesian Variable Selection Using Variational Methods

---

Documentation for package ‘varbvs’ version 2.6-10

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

varbvs-package	Large-scale Bayesian variable selection using variational methods
bayesfactor	Compute numerical estimate of Bayes factor.
case.names.varbvs	Accessing Properties of Fitted varbvs Models
coef.varbvs	Accessing Properties of Fitted varbvs Models
coef.varbvsmix	Accessing Properties of Fitted varbvs Models
confint.varbvs	Accessing Properties of Fitted varbvs Models
cred	Estimate credible interval.
cytokine	Cytokine signaling genes SNP annotation.
deviance.varbvs	Accessing Properties of Fitted varbvs Models
fitted.varbvs	Accessing Properties of Fitted varbvs Models
labels.varbvs	Accessing Properties of Fitted varbvs Models
leukemia	Expression levels recorded in leukemia patients.
nobs.varbvs	Accessing Properties of Fitted varbvs Models
normalizelogweights	Compute normalized probabilities.
plot.varbvs	Summarize variable selection results in a single plot.
predict.varbvs	Make predictions from a model fitted by varbvs.
predict.varbvsmix	Make predictions from a model fitted by varbvsmix.
print.summary.varbvs	Summarize a fitted variable selection model.
print.varbvs	Summarize a fitted variable selection model.
rand	Return matrices of pseudorandom values.
randn	Return matrices of pseudorandom values.
resid.varbvs	Accessing Properties of Fitted varbvs Models
residuals.varbvs	Accessing Properties of Fitted varbvs Models
subset.varbvs	Select hyperparameter settings from varbvs analysis.
summary.varbvs	Summarize a fitted variable selection model.
varbvs	Fit variable selection model using variational approximation methods.
varbvs.properties	Accessing Properties of Fitted varbvs Models
varbvsbf	Compute numerical estimate of Bayes factor.
varbvsindep	Compute posterior statistics, ignoring correlations.
varbvsmix	Fit linear regression with mixture-of-normals priors using variational approximation methods.
varbvsmix.properties	Accessing Properties of Fitted varbvs Models
varbvsproxybf	Compute Bayes factors measuring improvement-in-fit along 1 dimension.
variable.names.varbvs	Accessing Properties of Fitted varbvs Models